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Utilizing Constrained Bicyclic Peptides for In Vitro Diagnostics

Abstract:
Constrained bicyclic peptides (Bicycle molecules) with high affinity for biological targets have emerged as potentially powerful therapeutic agents, particularly for the in vivo targeting of cancer receptors. However, their antibody-mimetic properties have yet to be explored for use in diagnostic immunoassays. These synthetically derived compounds serve as biorecognition scaffolds that allow for facile site-selective modification and large-scale production. A phage display screen against various constructs of the SARS-CoV-2 nucleocapsid (N) protein identified several Bicycle molecules with binding affinities ranging from the micromolar to the low nanomolar range. These Bicycle molecules were validated in the development of enzyme- and nanozyme-linked immunosorbent assays, as well as enzymatic and colorimetric nanoparticle-based lateral flow immunoassays (LFIA) for the detection of ultralow concentrations of the SARS-CoV-2 N protein. We envision that these moieties enable robust, cost-effective, and large-scale development of ultrasensitive biosensors for a diverse range of biomarkers by leveraging their high binding affinity, minimalistic scaffold, and synthetic accessibility.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1021/acsnano.5c19041

Authors

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Role:
Author
ORCID:
0009-0006-2763-7097


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Funder identifier:
https://ror.org/0439y7842
Grant:
EP/K031953/1
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Funder identifier:
https://ror.org/054225q67
Grant:
100063
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Funder identifier:
https://ror.org/0526snb40
Grant:
CiET2021\94
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Funder identifier:
https://ror.org/05ar5fy68
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Funder identifier:
https://ror.org/04e3zg361


Publisher:
American Chemical Society
Journal:
ACS Nano More from this journal
Volume:
20
Issue:
7
Pages:
5928-5939
Publication date:
2026-02-13
Acceptance date:
2026-01-29
DOI:
EISSN:
1936-086X
ISSN:
1936-0851


Language:
English
Keywords:
Pubs id:
2374897
Local pid:
pubs:2374897
Source identifiers:
3798171
Deposit date:
2026-02-25
ARK identifier:
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